motorola motorola edge 60 pro
Geekbench AI Score
1045
Single Precision Score
4388
Half Precision Score
4406
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | mrinalkd7 |
| Upload Date | December 11 2025 06:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola motorola edge 60 pro |
| Model ID | motorola motorola edge 60 pro |
| Motherboard | cybert |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
993
184.7 IPS |
|
|
Image Classification (HP)
|
100% |
4130
768.1 IPS |
|
|
Image Classification (Q)
|
99% |
7503
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3942
63.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1791
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8779
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17525
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72773
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
4323
342.9 IPS |
|
|
Object Detection (Q)
|
86% |
5025
404.2 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
10491
124.7 IPS |
|
|
Face Detection (Q)
|
97% |
11094
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
18786
144.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
31276
297.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2803
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
30% |
408
6.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10181
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7099
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
111
147.5 IPS |
|
|
Text Classification (HP)
|
100% |
1607
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1639
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (Q)
|
60% |
341
7.67 IPS |
